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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
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pathogenesis and their potential as therapeutic agents and diagnostic tools. Using in vitro, ex vivo, and in vivo models, the lab studies EVs derived from amniotic fluid stem cells (AFSCs) and other perinatal
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UW into an AI-powered University. This role will work with various campus stakeholders, IT teams and external partners to drive innovation through consulting, evangelism, agent-building, and AI model
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modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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the capabilities of Agents, build with Large Language Models, in a collaborative a hidden profiles task. The scenario places 3 people in collaboration with an Agent in a group chat with the task
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study its impact on the degree of collaboration in hybrid teams. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and
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-infecting viruses) and antimicrobial peptides (AMPs) have potential as biocontrol agents. However, several technical challenges exist, namely to ensure stability and effectiveness of the developed products
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conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial intelligence
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tools, text-to-video, and related models. Experience with practical implementation/integration/deployment of AI powered tools, such as local models, APIs/online services, agents, and coding assistants